Implementing RAG Queries in LlamaIndex Agent Overview This article explains how to integrate a RAG query engine into an Agent, enabling the Agent to utilize external knowledge bases for data queries, thus enhancing its capabilities. This approach is useful in many scenarios, for instance: often we need to query or compute a specific metric first, … Read more
Overview For Agents, it is common to call multiple external tools to achieve various functions. This article introduces how to use external tools through llamaindex. Of course, these tools are all provided by llamaindex. The framework offers several external tools that can infinitely expand the capabilities of the Agent. These tools can be downloaded from … Read more
Project Introduction The easiest way to start using LlamaIndex is by using <span>create-llama</span>. This CLI tool allows you to quickly start building new LlamaIndex applications and sets everything up for you. Quick Run npx create-llama@latest to get started, or refer to the options below for more choices. After generating the application, run npm run dev … Read more
Click the “Blue Words” to Follow Us LlamaIndex, as a powerful framework, provides a solid foundation for building data pipelines that connect with large language models (LLMs). It implements a modular approach to query execution through structured workflows, simplifying solutions to complex problems. Today, let’s discuss the workflows of LlamaIndex. 1. Basics of LlamaIndex Workflows … Read more
First, we need to clarify that we require two types of models: LLM, which is the large model responsible for generating content. Embedding model, which is responsible for generating embeddings that represent text semantics in vector form. Set Up OpenAI API Key By default, LlamaIndex uses OpenAI’s LLM and embedding models, so we first need … Read more
Building projects is the best way to enhance your AI skills. However, for beginners, “What should I build?” is a common dilemma. This article will share 5 AI projects that can be completed quickly, ranging from basic to advanced, and will gradually explain the steps and Python libraries needed to implement these projects. Image from … Read more
👆Click to Follow for More Programming Insights👆 French AI startup Mistral AI recently released Codestral, its first large language model (LLM) designed specifically for programming. Codestral is an open AI model tailored for code generation tasks, providing instruction sharing and code completion API interfaces to help developers write and operate code more efficiently. Proficient in … Read more
Pinecone-client: A Powerful Python Library for Vector Databases Vector databases have become an essential part of AI applications, and Pinecone is a leader in this field. Today, let’s talk about the pinecone-client Python library and see how it helps us easily handle vector retrieval. 1. Installation and Setup The installation is super simple, just one … Read more
Building an AI Memory System with LangChain and Pinecone from Scratch Recently, have you been overwhelmed by various AI applications? With the emergence of ChatGPT, Wenxin Yiyan, and more, it can be dazzling. However, did you know that these AI applications all share a common point – they utilize a magical framework called LangChain. Today, … Read more
Build Your Own AI Knowledge Base with LangChain and Pinecone Do you want to have your own AI assistant that can answer all your questions? With LangChain and Pinecone, you can easily achieve this! In this article, we will discuss how to use these two tools to build a personal AI knowledge base, making your … Read more